Objective Assessment of Pathological Voice Using Artificial Intelligence Based on the GRBAS Scale-Reference-Cited by-同舟云学术

Objective Assessment of Pathological Voice Using Artificial Intelligence Based on the GRBAS Scale

Published:2021-12 Issue: Volume: Page:
ISSN:0892-1997
Container-title:Journal of Voice
language:en
Short-container-title:Journal of Voice

Author:

Kojima Tsuyoshi^ORCID,Fujimura Shintaro,Hasebe Koki^ORCID,Okanoue Yusuke,Shuya Otsuki,Yuki Ryohei,Shoji Kazuhiko,Hori Ryusuke,Kishimoto Yo,Omori Koichi

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

LPN and LVN,Speech and Hearing,Otorhinolaryngology

Reference11 articles.

1. Deep learning in medical image analysis;Shen;Annu Rev Biomed Eng,2017

2. Classification of voice disorders using a one-dimensional convolutional neural network;Fujimura;J Voice,2020

3. Psycho-acoustic evaluation of voice;Hirano,1981

4. A new iPhone application for voice quality assessment based on the GRBAS scale;Kojima;Laryngoscope,2021

5. New VA software program quantitatively analyzes voice quality;Mizuta;Prac Otorhinolaryngol,2011

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1. Item-specific analysis of hoarseness to detect aspiration after cardiac surgery: an exploratory study of adopting an iPhone application “GRBASZero”;Indian Journal of Thoracic and Cardiovascular Surgery;2024-06-07

2. Deep Learning for Neuromuscular Control of Vocal Source for Voice Production;Applied Sciences;2024-01-16

3. Potential of Speech-Pathological Features for Deepfake Speech Detection;IEEE Access;2024

4. Towards Automated Vocal Mode Classification in Healthy Singing Voice—An XGBoost Decision Tree-Based Machine Learning Classifier;Journal of Voice;2023-11

5. Toward Real-World Voice Disorder Classification;IEEE Transactions on Biomedical Engineering;2023-10